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OTOntology

Still pasting the same doc?

Every new chat window starts from zero on what your company knows.

Every new tool, you go find the notes and paste them again.

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OTOntologybot

Before — dig through notes, summarize, hand it out piece by piece

Pull the action items from this quarter's OKR review notes

1. Review the onboarding revamp draft 2. Update the incident response runbook 3. Finalize the metrics dashboard before next review

Quarterly OKR Review Notes

Now — one ask: found, connected, organized

Answers live only in someone's head

Work stalls whenever the person who owns it is away

New hires treat senior teammates like a search bar

And it keeps cutting into the time of the people who know best.

Connecting is the whole job

Ask, and it answers with sources. Delegate, and it works from them.

WHAT YOU GET

This is the knowledge layer

A company wiki you can ask, with a link to the original on every page.

The OTOntology knowledge library. Documents gathered from Notion, Slack, and Discord sit in one list, each linked back to its original.
The OTOntology wiki. A search for 'onboarding' returns a list where every row shows where the document came from and whether it is indexed.
Every searchable page has an original document behind it.

AGENTIC RETRIEVAL

Pile it on the server, or just click and connect?

AS-IS

Server-side — the whole pipeline lives on the server

Steps the server owns: 6+

  1. Question
  2. Query planning
  3. Sub-query split
  4. Iterative search
  5. Reranking
  6. Self-evaluation
  7. Synthesis
  8. Answer

And all of it is server ops —

"reasoning effort" tuningIndex pipeline upkeepPermission syncEval dashboardsCost & latency monitoring
TO-BE

Client-side — the server only has to search well

What the server does: search / fetch. That's it

Question

Client agent

Claude Code · Cursor

Planning, splitting, iterating happen here

search / fetch

Claude Code · terminal

claude mcp add --transport http otontology https://…/mcp

Connected — the agent works with your team's knowledge in hand

Answer

One address line. Click, connected — leave the hard parts to the agent that already does them well; the server focuses on search quality.

MCP · ANY AGENT

Any AI tool in your stack

Finding is table stakes — your agents finish the work.

Once connected, this is how you use it

claude mcp add --transport http otontology https://otontology.otoworks.ai/mcp

Authentication is per company; scope covers the public channels and wikis of the connected workspace.

  • Claude Code
  • Cursor
  • Codex
  • Gemini CLI
  • Windsurf
  • Anywhere MCP runs

What agents actually do with it

Claude CodeEngineer

Draft the new-hire onboarding checklist from our issuance procedure

wiki_fetch("laptop issuance procedure")

Checklist ready — each step linked to the procedure.

CursorPM

Draft the kickoff doc for the onboarding revamp, including why we chose this structure

wiki_search("onboarding revamp")

Draft ready — decisions quoted from the revamp doc.

ClaudeSupport

Draft a reply to this customer using our support manual

wiki_fetch("support manual")

Reply drafted — manual linked inline.

Gemini CLITeam Lead

Turn last night's incident follow-ups into action items and get us started

wiki_fetch("incident response runbook")

Follow-up list drafted — every item links to the runbook.

JUST CONNECT

Build it yourself, then maintain it forever

Connect once. We handle the rest

Nothing to build. Connect your tools, and scattered documents become a wiki your team can ask.

  • Checks for changes every 5 minutes
  • Rebuilds only what changed
The OTOntology integration dashboard. Notion, Slack, and Discord connectors sit above the index status: 128 wiki documents and 5 items waiting for review.

ASK IN SLACK · DISCORD

Answer the same question, again

Ask where you already work. Just ask

Mention the bot and it searches the knowledge layer for evidence. Nobody answers the same question twice.

  • Slack
  • Discord
  • No new tool to learn
A Slack #general channel. Asked about the laptop handover process, the bot answers from the knowledge library and links the source document; for the next question it has no evidence for, it says it couldn't find one.

NO EVIDENCE, NO ANSWER

Sounds right, cites nothing

No evidence, no answer

When the search returns nothing, we never call the model.

  • Every answer ships with its source
The OTOntology audit log. Each question is stored with an answer or a 'no evidence' badge, plus the channel and timestamp, and expands to show the sources it cited.

How the refusal works

Asked for an individual's salary, the knowledge library search returns zero results, so the model is never called and the answer reads: no supporting evidence found.
When it answers, it always shows the source.

AUDIT LOG

Every answer leaves a trail

Who asked, what came back, and which documents it drew from. Human questions and agent lookups alike.

Isolated per company

Each company's data stays separate. Another company's documents never enter your search.

Agents read only

What we open to agents is read-only. They can't change the wiki, the index, or the catalog.

Lookups are logged

Human questions and agent lookups land in the same log. You can check what any answer was based on.

WHY KNOWLEDGE LAYER

The base layer of the AI-agent era: the knowledge layer

For an agent to work, it has to read what the company knows. The industry calls this the knowledge layer. It gathers scattered company knowledge in one place so people and AI read the same evidence. OTOntology builds that layer from a Notion, Slack, or Discord connection alone.

“Why Enterprise AI Starts With A Knowledge Layer”

— Forbes Technology Council, August 2026

Connect, and the knowledge layer builds itself.

Ask and it answers, delegate and it works.

No evidence, no answer.

The same audit log side by side on desktop and mobile. Questions, answers, and sources appear identically on both.

The knowledge layer that puts agents to work

On the call, we'll take a few of the questions your team keeps answering and see what comes back.

Book a call with your questions
Free Consultation